Social Media in Health Care: Time for Transparent Privacy Policies and Consent for Data Use and Disclosure.
Author(s): Petersen, Carolyn, Lehmann, Christoph U
DOI: 10.1055/s-0038-1676332
Author(s): Petersen, Carolyn, Lehmann, Christoph U
DOI: 10.1055/s-0038-1676332
Drug-drug interaction (DDI) alerts are often implemented in the hospital computerized provider order entry (CPOE) systems with limited evaluation. This increases the risk of prescribers experiencing too many irrelevant alerts, resulting in alert fatigue. In this study, we aimed to evaluate clinical relevance of alerts prior to implementation in CPOE using two common approaches: compendia and expert panel review.
Author(s): Meslin, S M M, Zheng, W Y, Day, R O, Tay, E M Y, Baysari, M T
DOI: 10.1055/s-0038-1676039
Through the Health Information Technology for Economic and Clinical Health Act of 2009, the federal government invested $26 billion in electronic health records (EHRs) to improve physician performance and patient safety; however, these systems have not met expectations. One of the cited issues with EHRs is the human-computer interaction, as exhibited by the excessive number of interactions with the interface, which reduces clinician efficiency. In contrast, real-time location systems (RTLS)-technologies [...]
Author(s): King, Kevin, Quarles, John, Ravi, Vaishnavi, Chowdhury, Tanvir Irfan, Friday, Donia, Sisson, Craig, Feng, Yusheng
DOI: 10.1055/s-0038-1675812
Patient-centered symptom assessment and management tools allow patients to perform self-assessments and engage in self-symptom management. Efficacious tools exist for reducing symptom distress; however, little is known about feature-specific use.
Author(s): Berry, Donna L, Blonquist, Traci M, Nayak, Manan M, Grenon, Nina, Momani, Thaer G, McCleary, Nadine J
DOI: 10.1055/s-0038-1675810
Author(s): Koppel, Ross
DOI: 10.1055/s-0038-1675811
Electronic health records (EHRs) are transforming the way health care is delivered. They are central to improving the quality of patient care and have been attributed to making health care more accessible, reliable, and safe. However, in recent years, evidence suggests that specific features and functions of EHRs can introduce new, unanticipated patient safety concerns that can be mitigated by safe configuration practices.
Author(s): Dhillon-Chattha, Pritma, McCorkle, Ruth, Borycki, Elizabeth
DOI: 10.1055/s-0038-1675210
This study sought to quantitatively characterize medical students' expectations and experiences of an electronic health record (EHR) system in a hospital setting, and to examine perceived and actual impacts on learning.
Author(s): Cheng, Daryl R, Scodellaro, Thomas, Uahwatanasakul, Wonie, South, Mike
DOI: 10.1055/s-0038-1675371
This article describes the method of integrating a manual pediatric emergency department sepsis screening process into the electronic health record that leverages existing clinical documentation and keeps providers in their current, routine clinical workflows.
Author(s): Lloyd, Julia K, Ahrens, Erin A, Clark, Donnie, Dachenhaus, Terri, Nuss, Kathryn E
DOI: 10.1055/s-0038-1675211
Surveillance for surgical site infections (SSIs) after ambulatory surgery in children requires a detailed manual chart review to assess criteria defined by the National Health and Safety Network (NHSN). Electronic health records (EHRs) impose an inefficient search process where infection preventionists must manually review every postsurgical encounter ( 30 days). Using text mining and business intelligence software, we developed an information foraging application, the SSI Workbench, to visually present which [...]
Author(s): Karavite, Dean J, Miller, Matthew W, Ramos, Mark J, Rettig, Susan L, Ross, Rachael K, Xiao, Rui, Muthu, Naveen, Localio, A Russell, Gerber, Jeffrey S, Coffin, Susan E, Grundmeier, Robert W
DOI: 10.1055/s-0038-1675179
Clinician progress notes are an important record for care and communication, but there is a perception that electronic notes take too long to write and may not accurately reflect the patient encounter, threatening quality of care. Automatic speech recognition (ASR) has the potential to improve clinical documentation process; however, ASR inaccuracy and editing time are barriers to wider use. We hypothesized that automatic text processing technologies could decrease editing time [...]
Author(s): Lybarger, Kevin J, Ostendorf, Mari, Riskin, Eve, Payne, Thomas H, White, Andrew A, Yetisgen, Meliha
DOI: 10.1055/s-0038-1673417